Seekr Launches Self-Service AI Enterprise Platform to Accelerate Time to Market

SeekrFlow simplifies and streamlines the path to achieve ROI from AI

Seekr today announced the launch of SeekrFlow, as a complete end-to-end AI platform for training, validating, deploying, and scaling trusted enterprise AI applications through an intuitive and simple to use web user interface (UI).

Also Read: AiThority Interview with Paul Fipps, President, Global Industries and Strategic Growth at ServiceNow

SeekrFlow features and benefits include: 

• A simple UI to build a production-grade LLM in 30 minutes or less, ready to validate and deploy.
• Principle Alignment, an intelligent agent that simplifies the process of aligning AI models to domain-specific knowledge, such as company polices, industry regulations or brand guidelines.
  This feature enhances the accuracy and relevance of base model responses by 3x and 6x respectively, at 90% reduced cost compared traditional data preparation methods.
• Low cost, usage-based pricing model and compute optimization, with up to a 50% price advantage on model inference, compared to peers.
• Hallucination detection through Seekr’s confidence scoring down to the token level.
• Automated Deployment to launch models in five clicks, reduce errors, and monitor production health and performance in a visual real-time dashboard built exclusively for the UI.

“Many enterprise AI projects today have been stalled due to complexity, cost, and hallucinations,” said Seekr President and CTO Rob Clark. “SeekrFlow addresses all of those concerns, and by being platform and hardware agnostic, makes it available no matter where the customer runs AI or where their data resides.”

Enterprises can access SeekrFlow on any platform or hardware, but thanks to Seekr’s multi-year collaboration with Intel, customers can now deploy trusted AI with Seekr at a superior price-performance running on the Intel Tiber Developer Cloud.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]